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02. Tools for Data Science

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README.md
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README.md

Tools for Data Science

📄 Summary

This course provides an introduction to the common programming languages used by data scientists. It also provides a foundational knowledge of tools such as Jupyter Notebooks, Watson Studio, and GitHub, which are used throughout the following courses.

📑 Main Topics

  • Data Scientist's Toolkit (e.g. the languages of Data Science (Python, R, SQL))
  • Open Source Tools (e.g. Jupyter Notebook, JupyterLab, R Studio IDE, Github)
  • IBM Tools for Data Science

🔑 Key Skills Learned

  • Introduction to the languages, tools, and data used by data scientists, including IBM tools focused on data science.
  • Knowledge of the features of Jupyter Notebook and RStudio IDE that make them popular for data science projects.
  • Creation and management/version control of source code for data science in GitHub.
  • Understanding of how IBM Watson Studio and other IBM data science tools can be used by data scientists.

🏆 Certificates

To verify the certificates, click the images to follow the links.